Based on deep learning, pancreatic cancer pathology image segmentation technology
effectively assists pathologists in achieving improved treatment outcomes. However …

Simple Summary Colorectal cancer (CRC) is a complex disease that has a high mortality
rate. This study explored CRC-related core genes (CGs) from multiple microarray gene …

Abstract Machine learning (ML) models are used in the interdisciplinary field of bio-ML to
solve biological challenges. The diagnosis and treatment of cancer can benefit from the …

In modern healthcare, integrating Artificial Intelligence (AI) and Internet of Medical Things
(IoMT) is highly beneficial and has made it possible to effectively control disease using …

Pancreatic ductal adenocarcinoma (PDAC) is one the most aggressive cancers and
characterized by a highly rigid and immunosuppressive tumor microenvironment (TME). The …

Pancreatic cancer (PC) has one of the lowest survival rates among all major types of cancer.
Consequently, it is one of the leading causes of mortality worldwide. Serum biomarkers …

Introduction: Chemotherapy resistance remains a significant challenge in the treatment of
pancreatic adenocarcinoma (PDAC), particularly in relation to gemcitabine (Gem), a …

Background and Objectives: Breast cancer (BC) is one of the major causes of cancer-related
death in women globally. Proper identification of BC-causing hub genes (HubGs) for …

Pancreatic cancer (PC), lacking biomarkers and effective therapeutics, remains highly lethal.
Data regarding the correlations of PC risk and the individual plasma proteome known for …

According to the World Health Organization, cancer is projected to be among the main
causes of death worldwide in 2020, accounting for roughly 10 million fatalities. Globally …